Artificial intelligence

12.4.3.1 describe spheres where artificial intelligence is applied: industry, education, medicine, gaming industry, society

Artificial intelligence

Definition

Artificial intelligence (or AI) is the ability of a computer to perform tasks such as reasoning and learning that human intelligence is capable of doing.

By the end of this video, you will understand:
00:00 What is Artificial Intelligence?
01:52 Examples of Artificial Intelligence
03:13 Difference between Artificial intelligence, Machine Learning and Deep Learning
03:46 Future of Artificial Intelligence

Characteristics of artificial intelligence system

  • ability to seem intelligent
  • power to copy intelligent human behavior
  • capacity to learn
  • decision making ability
  • adaptation to circumstanses
  • well defined goals
  • problem solving skills
  • reasoning ability
  • autonomy
  • flexibility

Types of AI

Weak Artificial Intelligence (AI), or Narrow AI, is a machine intelligence that is limited to a specific or narrow area. Weak Artificial Intelligence (AI) simulates human cognition and benefits mankind by automating time-consuming tasks and by analyzing data in ways that humans sometimes can't.

Examples include Facebook’s news feed, Amazon’s suggested purchases and Apple’s Siri, the iPhone technology that answers users’ spoken questions. Email spam filters are another example of Weak AI where a computer uses an algorithm to learn which messages are likely to be spam, then redirects them from the inbox to the spam folder.

Strong Artificial Intelligence (AI) is a theoretical form of machine intelligence that is equal to human intelligence. Key characteristics of Strong AI include the ability to reason, solve puzzles, make judgments, plan, learn, and communicate. It should also have consciousness, objective thoughts, self-awareness, sentience, and sapience. Strong AI is also called True Intelligence or Artificial General Intelligence (AGI).

For example, a machine might hear “good morning” and start to associate that with the coffee maker turning on. If the computer has the ability, it theoretically could hear “good morning” and decide to turn on the coffee maker.

Differences between strong and weak AI

  • With strong AI, machines can actually think and carry out tasks on their own, just like humans do. With weak AI, the machines cannot do this on their own and rely heavily on human interference.
  • Strong AI has a complex algorithm that helps it act in different situations, while all the actions in weak AIs are pre-programmed by a human.
  • Strong AI-powered machines have a mind of their own. They can process and make independent decisions, while weak AI-based machines can only simulate human behavior.

Pros vs Cons

Pros Cons

Doesn't get tired & wear out easily

Incurrs high cost
Rational decision maker

Leads to unemploynment

Applications in medical industry No improvement with experience
Accurate decision making Lacks in creativity
Selfless with no breaks  

AI consists of many sub-fields, using a variety of techniques, such as:

  1. Neural Networks – e.g. brain modeling, time series prediction, classification 
  2. Evolutionary Computation – e.g. genetic algorithms, genetic programming
  3. Vision – e.g. object recognition, image understanding 
  4. Robotics – e.g. intelligent control, autonomous exploration 
  5. Expert Systems – e.g. decision support systems, teaching systems
  6. Speech Processing– e.g. speech recognition and production 
  7. Natural Language Processing – e.g. machine translation 
  8. Planning – e.g. scheduling, game playing 
  9. Machine Learning – e.g. decision tree learning, version space learning

Scope of application

  • Healthcare for assisting doctors
  • Education for automating grading system
  • Autonomous Vehicles for advanced features
  • Business for smoothening overall process
  • Travel Industry for predicting pricing pattern
  • Social Media for serving personalized experience
  • Gaming Industry

Look at Infographic AI

 

Interesting AI Statistics for 2020

  • AI-powered voice assistants to reach 8 billion by 2023.
  • By 2025, the global AI market is expected to be almost $60 billion.
  • The highest number of Alexa’s inventory skills are accessible in the US – about 66.000 skills.
  • Global GDP will grow by $15.7 trillion by 2030 thanks to AI.
  • AI can increase business productivity by 40%.
  • The number of AI startups grew 14 times over the last two decades.
  • Investment in AI startups grew 6 times since 2000.
  • Already 77% of the devices we use feature one form of AI or another.

Sources: https://www.investopedia.com/https://techjury.net/

 

Exercises

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Категория: Artificial intelligence | Добавил: bzfar77 (30.08.2020)
Просмотров: 193 | Теги: machine learning, Artificial Intelligence, weal AI, deep learning, strong AI | Рейтинг: 5.0/1
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